Open AccessDecision support system for selection technique using MOORA method
Author(s) -
Victor Marudut Mulia Siregar,
Mega Romauly Tampubolon,
Eka Pratiwi Septania Parapat,
Eve Ida Malau,
Debora Silvia Hutagalung
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1088/1/012022
Subject(s) - scholarship , ranking (information retrieval) , mathematics education , computer science , selection (genetic algorithm) , process (computing) , mathematics , psychology , medical education , operations research , medicine , machine learning , political science , law , operating system
This study aims to solve the problem of selecting the best students as recipients of the Academic Achievement Improvement scholarship at Sekolah Tinggi Akuntansi dan Manajemen Indonesia (STAMI). The scholarship data processing process carried out by STAMI is currently still using a manual process and only uses the GPA criteria only in determining scholarship recipients. This problem is resolved using a Decision Support System with the Multi-Objective Optimization based on Ratio Analysis (MOORA) method. The criteria used in this Decision Support System consist of: parents’ income, parents’ dependents, semester, and GPA. Alternative data used in this study consisted of 7 alternative STAMI students. The best ranking results from selecting the best students to obtain scholarships using the MOORA method are students with the STAMI_Student02 alternative with a ranking value of 0.2345.